Databricks Certification Training in Gurgaon
Master Databricks Cloud and get prepared for Databricks official certifications with our role based courses tailored to your specific needs
- Enroll for Architecture, Data Engineering, Developer, Analyst, ML/ AI, Operations, and Governance Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 3 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Databricks Certification Overview
This Databricks live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across Databricks platform, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 5+ Databricks official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Job interview rehearsal sessions
Familiarity with building Data Pipelines, Delta Lake, Unity Catalog, Databricks SQL and Lakehouse fundamentals and building data pipelines for business insights.
Basic, high-level knowledge of building Data pipelines on Databricks Cloud services and terminology. Ideal starting point for Databricks Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy along with the knowledge of building Data Pipelines.
Evaluates candidate proficiency with the Databricks Data Intelligence Platform, focusing on Unity Catalog for discovering, querying, cleaning, and managing certified datasets, plus data import via UI, S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, and Marketplace. Assesses query execution and optimization for data analysis, including creating views, aggregate operations, table joins, filtering, sorting, and query analysis using auditing, history, logs, and Liquid clustering. Covers fundamentals of Dashboards and Visualizations, developing/sharing/maintaining AI/BI Genie spaces, and data modeling with Databricks SQL. Includes securing data through best practices for storage and management.
Assesses understanding of Apache Spark architecture and components, plus proficiency in using the Spark DataFrame API for basic data manipulation tasks like selecting / renaming / manipulating columns, filtering / dropping / sorting / aggregating rows, handling missing data, combining /reading / writing / partitioning DataFrames with schemas, and working with UDFs / Spark SQL functions. Evaluates knowledge of Spark fundamentals including execution / deployment modes, execution hierarchy, fault tolerance, garbage collection, lazy evaluation, shuffling, Actions / broadcasting, Structured Streaming, Spark Connect, and common troubleshooting / tuning techniques. Tests ability to apply these concepts within Spark sessions using Python. Successful candidates demonstrate competence in completing basic Spark DataFrame tasks with Python
What is Databricks Cloud Fundamentals ?
Databricks Certified Lakehouse Fundamentals are essential for building data pipelines in the field of Data Engineering . They manage the full data lifecycle— ingestion (hydration) to the curated zone & finally to gold layer (reporting layer) to bring business insights, and automating data pipelines and testing processes. By streamlining workflows and resolving challenges in data pipeline development on cloud, and maintenance, they help organizations deliver reliable, high-performance data pipelines faster and more efficiently.
The role of Databricks Cloud Fundamentals?
Databricks Certified Data Engineers in building Data Pipelines and testing oversees the end-to-end data lifecycle of ETL applications, from development to deployment and performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline data pipeline workflows.
Scalable Data & AI Development: Designing and building Data Pipelines that address critical business needs.
Seamless Deployment of Data Pipelines: Coordinating Data Pipeline deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Databricks Certified Data Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment of data pipelines, automation, and deployment processes, positioning you as a high-impact Databricks Certified Data engineer in Data Pipelines development and testing.”**
Who should take this Databricks Certified Data Engineers course?
The Databricks Certified Data Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Data and DevOps Developers
Data Engineers and IT Managers
Databricks Cloud & Infrastructure Engineers
Cloud Researchers and Data Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in Data Pipeline development and testing.
What are the prerequisites of Databricks Certified Data Engineer Course?
Prerequisites for the Databricks Certified Data Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background: An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills: Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity: Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, pipeline workflows, Webapp deployment, and automation throughout the course.
Kind of Job Placement/Offers after Databricks Certification Course?
- Databricks Certified Data Engineer
- Databricks certified Data Analyst.
- Cloud Solutions Data Manager
- Databricks Infrastructure/Cloud Automation Engineer
- Databricks Cloud Engineer / Cloud Architect
- Databricks Cloud Infrastructure Engineer
- Databricks Data Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 3 months | 4 months | 1 month |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Databricks Course Overview
This Databricks Cloud Certification training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Databricks tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding Databricks certification path. You can choose the role(s) that progress your Databricks certification journey toward your goals. These learning paths are recommendations, not requirements.
Fundamentals
Databricks Lakehouse Fundamentals Certification Course
Familiarity with building Data Pipelines, Delta Lake, Unity Catalog, Databricks SQL and Lakehouse fundamentals and building data pipelines for business insights.
Data Analysis
Databricks Data Analyst Associate Certification Course
Evaluates candidate proficiency with the Databricks Data Intelligence Platform, focusing on Unity Catalog for discovering, querying, cleaning, and managing certified datasets, plus data import via UI, S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, and Marketplace. Assesses query execution and optimization for data analysis, including creating views, aggregate operations, table joins, filtering, sorting, and query analysis using auditing, history, logs, and Liquid clustering.
Covers fundamentals of Dashboards and Visualizations, developing/sharing/maintaining AI/BI Genie spaces, and data modeling with Databricks SQL. Includes securing data through best practices for storage and management.
Data Engineer
Databricks Data Engineer Associate Certification Course
Basic, high-level knowledge of building Data pipelines on Databricks Cloud services and terminology. Ideal starting point for Databricks Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy along with the knowledge of building Data Pipelines.
Developer
Databricks Spark Developer Associate Certification Course
Assesses understanding of Apache Spark architecture and components, plus proficiency in using the Spark DataFrame API for basic data manipulation tasks like selecting/renaming/manipulating columns, filtering/dropping/sorting/aggregating rows, handling missing data, combining/reading/writing/partitioning DataFrames with schemas, and working with UDFs/Spark SQL functions. Evaluates knowledge of Spark fundamentals including execution/deployment modes, execution hierarchy, fault tolerance, garbage collection, lazy evaluation, shuffling, Actions/broadcasting, Structured Streaming, Spark Connect, and common troubleshooting/tuning techniques. Tests ability to apply these concepts within Spark sessions using Python. Successful candidates demonstrate competence in completing basic Spark DataFrame tasks with Python
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of Data & AI being Databricks certified
With the Databricks certified course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- AWS Polly
- Azure Databricks
- Databricks SQL
- Azure Functions
- Azure App Services
- Databricks Cloud
- Databricks Unity Catalog
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- API Management
- Azure Search
- Azure Monitor
35% - 50%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Databricks Certification Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Databricks & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as Databricks Certified Professional?
To become a successful Databricks Data Professional required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis. But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Databricks implementation?
- Manufacturing
- Financial Services
- Healthcare
- E-commerce
- Telecommunication
- BFSI (Banking, Finance & Insurance)
- Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Databricks Certification Course reviewed by learners?
Our Databricks Data Professional Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (Databricks). Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
Databricks Data Analyst Certification Training in Gurgaon Master Databricks Cloud and get prepared for Databricks...
Databricks Data Engineer Certification Training in Gurgaon Master Databricks Cloud and get prepared for Databricks...
Databricks Fundamentals Certification Training in Gurgaon Master Databricks Cloud Fundamentals and get prepared for Databricks...
Databricks Spark Certification Training in Gurgaon Master Databricks Spark Cloud and get prepared for Databricks...
